• DocumentCode
    704131
  • Title

    Methodologies and Performance Metrics to Evaluate Multiprogram Workloads

  • Author

    Selfa, Vicent ; Sahuquillo, Julio ; Gomez, Crispin ; Gomez, Maria E.

  • Author_Institution
    Univ. Polit`ecnica de Val`encia, Valencia, Spain
  • fYear
    2015
  • fDate
    4-6 March 2015
  • Firstpage
    150
  • Lastpage
    154
  • Abstract
    Multicore processors are dominating the microprocessor market and most research work has moved to this kind of processors. Multicore research methods are still immature and evolving from the single-threaded processor ounterparts. Three main research issues must be faced when evaluating performance and energy in multicores. First, multiple simulation methodologies are being applied to evaluate these systems, without being an agreement about which to use. Second, due to the nature of multiprogram workloads new performance metrics are required, different from those used in single-thread processors. Many metrics have been defined and distinct metrics are used across the published works. Finally, multicore processors are really complex systems which require from sophisticated and complementary (e.g. energy and performance) simulators. This paper pursues to help researchers face the three mentioned research issues. For this purpose, we compare these issues across 28 papers published in 2013 in top computer architecture conferences. Both analytical examples and experimental results are presented with the aim of providing some insights in multicore research.
  • Keywords
    microprocessor chips; multiprocessing programs; multiprocessing systems; performance evaluation; energy evaluation; microprocessor market; multicore processors; multicore research; multiple simulation methodologies; multiprogram workload evaluation; performance metrics; Benchmark testing; Hidden Markov models; Indexes; Measurement; Multicore processing; Program processors; Proposals; evaluation; methodologies; metrics; multicore; performance;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Parallel, Distributed and Network-Based Processing (PDP), 2015 23rd Euromicro International Conference on
  • Conference_Location
    Turku
  • ISSN
    1066-6192
  • Type

    conf

  • DOI
    10.1109/PDP.2015.74
  • Filename
    7092713